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DevOps Engineer

Job in San Antonio, Bexar County, Texas, 78208, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Cloud Computing: Infrastructure & Operations, Systems Engineer, AWS, SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
  • Support development and deployment of cloud infrastructure in AWS, especially EKS
  • Support development and deployment of non-cloud (Edge) infrastructure on on-premise and portable equipment
  • Automate deployment processes and ensure reliability and scalability of services
  • Manage and maintain Kubernetes containers and cloud infrastructure on AWS
  • Collaborate with development teams to integrate applications into the infrastructure
  • Monitor and troubleshoot production systems and resolve issues
  • Continuously improve processes and tools to ensure high availability and performance
  • Stay current with new technologies and industry trends
  • Transition between hands‑on execution and team guidance, including mentorship and team leadership
  • Perform other duties as assigned
Requirements
  • Current Top Secret level U.S. Government Security Clearance required
  • U.S. Citizenship required
  • Must be willing and able to obtain a TS/SCI security clearance
  • 5+ years of experience in Dev Ops Engineering or Software Development and Bachelor's degree in a related field; or 3 years of relevant experience with Master's degree in a related field; or High School Diploma or equivalent and 9 years of relevant experience
  • Strong knowledge of Kubernetes or other container orchestration platforms
  • Strong knowledge of AWS services, especially EKS, EC2, EBS, S3, and Lambda
  • Proficiency with Terraform and Ansible
  • Experience with application, container, and OS deployment, scaling, and management
  • Ability to develop in Python, Bash, or Go
  • Familiarity with Git, Flux, and other development and deployment tools
  • Comfortable in a terminal-based environment
  • Proficient knowledge of Linux, including system administration and troubleshooting
  • Excellent problem-solving skills
  • Excellent oral and written communication skills
  • Understanding of Agile software development methodologies and standard software development tool suites
  • Demonstrated experience serving as a tech lead, mentor, or manager for engineering teams
  • Must be willing/able to help open/close the workspace during regular business hours as needed
  • Must be able to work on customer site in San Antonio, TX 3–5 days a week
  • Preferred: active TS/SCI security clearance
  • Preferred: experience with big data technologies such as Hadoop, Accumulo, Ceph, Spark, NiFi, Kafka, PostgreSQL, Elastic Search, Hive, Drill, Impala, Trino, and Presto
  • Experience with containers, EKS, Diode, CI/CD, and Terraform is a plus
Core Competencies

Demonstrates expertise in AWS cloud infrastructure management, particularly with EKS, and possesses strong skills in Kubernetes container orchestration. Proven ability to automate deployment processes, mentor teams, and ensure high availability and performance of production systems.

Highest-signal resume keywords
  • AWS Services (EKS, EC2, EBS, S3, Lambda)
  • Kubernetes Management
  • Terraform and Ansible Proficiency
  • Python, Bash, or Go Development
  • Top Secret Level U.S. Government Security Clearance
ATS Optimization Keywords Hard Skills
  • Kubernetes
  • AWS
  • Terraform
  • Ansible
  • Python
  • Bash
  • Go
  • Linux System Administration
  • CI/CD
  • Agile Methodologies
Soft Skills
  • Problem-Solving
  • Oral Communication
  • Written Communication
  • Team Leadership
  • Mentorship
Certifications & Qualifications
  • Top Secret Security Clearance
  • TS/SCI Security Clearance (Preferred)
Industry Keywords
  • Cloud Infrastructure
  • Edge Infrastructure
  • Deployment Automation
  • Production Systems Monitoring
  • Big Data Technologies
Tools & Technologies
  • Git
  • Flux
  • Docker
  • Hadoop
  • Kafka
  • PostgreSQL
  • Elastic Search
  • Ni Fi
  • Spark
  • Ceph
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